Decentralized subspace tracking via gossiping

Lin Li, Xiao Li, Anna Scaglione, Jonathan H. Manton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We consider a fully decentralized model for adaptively tracking the signal's principal subspace, which arises in multi-sensor array detection and estimation problems. Our objective is to equip the network of dispersed sensors with a primitive for online spectrum sensing, which does not require a central fusion node. In this model, each node updates its local subspace estimate with its received data and a weighted average of the neighbors' data. The quality of the estimate is measured by the total subspace mismatch of the individual subspace component estimates, which converge asymptotically in the Lyapunov sense.

Original languageEnglish (US)
Title of host publicationDistributed Computing in Sensor Systems - 6th IEEE International Conference, DCOSS 2010, Proceedings
Pages130-143
Number of pages14
DOIs
StatePublished - Aug 13 2010
Externally publishedYes
Event6th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2010 - Santa Barbara, CA, United States
Duration: Jun 21 2010Jun 23 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6131 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2010
CountryUnited States
CitySanta Barbara, CA
Period6/21/106/23/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Li, L., Li, X., Scaglione, A., & Manton, J. H. (2010). Decentralized subspace tracking via gossiping. In Distributed Computing in Sensor Systems - 6th IEEE International Conference, DCOSS 2010, Proceedings (pp. 130-143). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6131 LNCS). https://doi.org/10.1007/978-3-642-13651-1_10